Filters








3,228 Hits in 2.7 sec

Energy-delay tradeoffs in smartphone applications

Moo-Ryong Ra, Jeongyeup Paek, Abhishek B. Sharma, Ramesh Govindan, Martin H. Krieger, Michael J. Neely
2010 Proceedings of the 8th international conference on Mobile systems, applications, and services - MobiSys '10  
In this paper, we present a principled approach for designing an optimal online algorithm for this energy-delay tradeoff using the Lyapunov optimization framework.  ...  On the other hand, many of these applications are often naturally delay-tolerant, so that it is possible to delay data transfers until a lower-energy WiFi connection becomes available.  ...  At their core, all these decisions involve an energy-delay tradeoff. The problem we consider in this paper is the design of an algorithm for making this energy-delay tradeoff.  ... 
doi:10.1145/1814433.1814459 dblp:conf/mobisys/RaPSGKN10 fatcat:jwnie6fkwngc7l7j44pks5zp7m

Dynamic speed scaling for energy minimization in delay-tolerant smartphone applications

Jeongho Kwak, Okyoung Choi, Song Chong, Prasant Mohapatra
2014 IEEE INFOCOM 2014 - IEEE Conference on Computer Communications  
Energy-delay tradeoffs in smartphone applications have been studied independently in dynamic voltage and frequency scaling (DVFS) problem and network interface selection problem.  ...  This paper is the first to reveal energy-delay tradeoffs in a holistic view considering multiple wireless interfaces, DVFS and multitasking in smartphone.  ...  ACKNOWLEDGEMENTS The authors would like to thank Hong-hwan Jeon in heaven for help with 3G/WiFi throughput measurement study.  ... 
doi:10.1109/infocom.2014.6848173 dblp:conf/infocom/KwakCCM14 fatcat:amwsyhjj2jf63hgonuhfplhwqa

eTime: Energy-efficient transmission between cloud and mobile devices

Peng Shu, Fangming Liu, Hai Jin, Min Chen, Feng Wen, Yupeng Qu, Bo Li
2013 2013 Proceedings IEEE INFOCOM  
To cope with the randomness and unpredictability of wireless connectivity, eTime only relies on the current status information to make a global energy-delay tradeoff decision.  ...  Inspired by the feasibility to schedule data transmissions for prefetching-friendly or delaytolerant applications, in this paper, we present eTime, a novel Energy-efficient data TransmIssion strategy between  ...  Hence, there is an energy-delay tradeoff in scheduling the data transmissions.  ... 
doi:10.1109/infcom.2013.6566762 dblp:conf/infocom/ShuLJCWQL13 fatcat:z46i6ve3zjembkx3vzpivkllym

Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing

Feng Xia, Fangwei Ding, Jie Li, Xiangjie Kong, Laurence T. Yang, Jianhua Ma
2013 Information Systems Frontiers  
With prosperity of applications on smartphones, energy saving for smartphones has drawn increasing attention.  ...  In this paper we devise Phone2Cloud, a computation offloading-based system for energy saving on smartphones in the context of mobile cloud computing.  ...  Furthermore, we get the trade-off energy consumption for computation offloading E tradeoff from Eqs. 7 and 16, i.e. the difference of energy consumption of running the application on smartphone and cloud  ... 
doi:10.1007/s10796-013-9458-1 fatcat:bykb3ytzrzaxdj7fcoeizfyg24

Supporting Distributed Execution of Smartphone Workloads on Loosely Coupled Heterogeneous Processors

Felix Xiaozhu Lin, Zhen Wang, Lin Zhong
2012 USENIX Symposium on Operating Systems Design and Implementation  
Modern smartphones are embracing asymmetric, loosely coupled processors that have drastically different performance-power tradeoffs.  ...  By doing so, it is able to reduce processor energy consumption of light-loaded smartphones manyfold.  ...  Today, mobile systems are embracing asymmetric processors with different performance-power tradeoffs, in hopes of executing any given workload on a processor that has the best tradeoff while keeping all  ... 
dblp:conf/osdi/LinWZ12 fatcat:ttwait6qwrcx7if3y7glwmakpm

Exploring memory energy optimizations in smartphones

Ran Duan, Mingsong Bi, Chris Gniady
2011 2011 International Green Computing Conference and Workshops  
Many RAM optimizations have been explored for computer systems and in this paper we explore their applicability to smartphone hardware.  ...  Subsequently, energy efficiency has become one of the most important factors in designing smartphones.  ...  The tradeoffs between DRAM and PCM are being explored in conventional computing systems; however they have not been addressed in smartphones.  ... 
doi:10.1109/igcc.2011.6008591 dblp:conf/green/DuanBG11 fatcat:carcstepcvfqdpi3i4yvn7d3bq

Energy-aware design patterns for mobile application development (invited talk)

Abhijeet Banerjee, Abhik Roychoudhury
2014 Proceedings of the 2nd International Workshop on Software Development Lifecycle for Mobile - DeMobile 2014  
In this study, we propose a set of energy-aware design patterns, specifically targeted at smartphone applications.  ...  However, until recently most of the smartphone applications have been developed in an energyoblivious fashion.  ...  of energy-inefficiencies in a number of real-life smartphone applications.  ... 
doi:10.1145/2661694.2661698 dblp:conf/sigsoft/BanerjeeR14 fatcat:it55zvig3rfkdcsyckqqpe6tty

Distributed in-network processing and resource optimization over mobile-health systems

Alaa Awad, Amr Mohamed, Carla-Fabiana Chiasserini, Tarek Elfouly
2017 Journal of Network and Computer Applications  
Thus, it is clear that in these cases, the smartphone energy consumption and the management of the overall network in a distributed fashion becomes of prominent importance.  ...  In this paper, we integrate wireless network components, and application-layer characteristics to provide sustainable, energy-efficient and high-quality services for m-health systems.  ...  The immense advancements in smartphone features and capabilities have promoted the development of smartphone application (app) for long-term chronic condition management.  ... 
doi:10.1016/j.jnca.2017.01.014 fatcat:tsca4cqsxjhmpidzyecpnvcwme

Angry Apps: The Impact of Network Timer Selection on Power Consumption, Signalling Load, and Web QoE

Christian Schwartz, Tobias Hoßfeld, Frank Lehrieder, Phuoc Tran-Gia
2013 Journal of Computer Networks and Communications  
One of the major contributions of this paper is the investigation of the resulting tradeoff between energy consumption at the smartphone and the generated signalling traffic in the mobile network.  ...  The popularity of smartphones and mobile applications has experienced a considerable growth during the recent years, and this growth is expected to continue in the future.  ...  First, we study the tradeoff between energy consumption at the smartphone and the generated signalling traffic in the mobile network.  ... 
doi:10.1155/2013/176217 fatcat:tg3u4v5vdngqvfnou33ete7qsq

Characterizing radio resource allocation for 3G networks

Feng Qian, Zhaoguang Wang, Alexandre Gerber, Zhuoqing Morley Mao, Subhabrata Sen, Oliver Spatscheck
2010 Proceedings of the 10th annual conference on Internet measurement - IMC '10  
applications and the state machine behavior.  ...  In particular, We propose a simple improvement that reduces YouTube streaming energy by 80% by leveraging an existing feature called fast dormancy supported by the 3GPP specifications.  ...  We use the five datasets for per-application analysis in §5.2 and §6.3 to study how application traffic patterns affect the tradeoff described in §2.3.  ... 
doi:10.1145/1879141.1879159 dblp:conf/imc/QianWGMSS10 fatcat:hqgwm3z2jjfkfmieyqyv6zszyq

Periodic transfers in mobile applications

Feng Qian, Zhaoguang Wang, Yudong Gao, Junxian Huang, Alexandre Gerber, Zhuoqing Mao, Subhabrata Sen, Oliver Spatscheck
2012 Proceedings of the 21st international conference on World Wide Web - WWW '12  
For example, for popular smartphone applications such as Facebook, periodic transfers account for only 1.7% of the overall traffic volume but contribute to 30% of the total handset radio energy consumption  ...  Using packet traces containing 1.5 billion packets collected from a commercial cellular carrier, we found that periodic transfers are very prevalent in today's smartphone traffic.  ...  In particular, there exists a radio resource control (RRC) state machine [17] that determines radio resource usage based on application traffic patterns, affecting device energy consumption and user  ... 
doi:10.1145/2187836.2187844 dblp:conf/www/QianWGHGMSS12 fatcat:evlzqsb2x5fkfh7sbkdhpa7sdy

The yin and yang of hardware heterogeneity

Kathryn S. McKinley
2013 Proceedings of the 2013 companion publication for conference on Systems, programming, & applications: software for humanity - SPLASH '13  
Power and energy constraints are now the driving force in devices from smartphones to servers.  ...  Quantitative power, performance, and energy measurements suggest that hardware heterogeneity to match software diversity has the potential to deliver energy efficiency.  ...  She likes to solve programming language implementation problems and make systems programmable, fast, reliable, secure, and energy efficient. Dr.  ... 
doi:10.1145/2508075.2508188 dblp:conf/oopsla/McKinley13 fatcat:uqyi65envjdfrcn7abodkyglve

A close examination of performance and power characteristics of 4G LTE networks

Junxian Huang, Feng Qian, Alexandre Gerber, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck
2012 Proceedings of the 10th international conference on Mobile systems, applications, and services - MobiSys '12  
Using a comprehensive data set consisting of 5-month traces of 20 smartphone users, we carefully investigate the energy usage in 3G, LTE, and WiFi networks and evaluate the impact of configuring LTE-related  ...  In addition, we perform case studies of several popular applications on Android in LTE and identify that the performance bottleneck for web-based applications lies less in the network, compared to our  ...  APPLICATION PERFORMANCE IMPACT In this section, we try to identify the new bottleneck of webbased smartphone applications in LTE and start with comparing the processing power of contemporary smartphones  ... 
doi:10.1145/2307636.2307658 dblp:conf/mobisys/HuangQGMSS12 fatcat:oytnvaphnfhnrmrlz3ipmkfaki

A Middleware for Power Management in Multicore Smartphones

Shaosong Li, Shivakant Mishra
2015 Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services  
While multi-core processors in smartphones have already emerged in market, current applications are yet to take full advantage of this new architecture, particularly in the area of managing power consumption  ...  This paper addresses the issue of managing power consumption in multicore smartphones via a middleware layer that schedules optimal number of cores for currently running applications taking into account  ...  A tool to profile the energy usage of applications is proposed in [6] .  ... 
doi:10.4108/eai.22-7-2015.2260049 dblp:journals/ew/LiM15 fatcat:yi2xelsteva53kpypp7ftkvnn4

TOP: Tail Optimization Protocol For Cellular Radio Resource Allocation

Feng Qian, Zhaoguang Wang, Alexandre Gerber, Z. Morley Mao, Subhabrata Sen, Oliver Spatscheck
2010 The 18th IEEE International Conference on Network Protocols  
TOP thus requires no change to the cellular infrastructure and only minimal changes to smartphone applications.  ...  For applications such as multimedia streaming, TOP can achieve even more significant savings of radio energy (up to 60%) and radio resources (up to 50%).  ...  (iv) The radio energy consumption E is the total radio energy consumed in all states and state promotions. The key tradeoffs of radio resource optimization can then be stated as follows.  ... 
doi:10.1109/icnp.2010.5762777 dblp:conf/icnp/QianWGMSS10 fatcat:rclbhnvql5d7fadxpjhrhn5zty
« Previous Showing results 1 — 15 out of 3,228 results